Google releases Cell2Sentence-Scale 27B (C2S-Scale), a 27B-parameter foundation model for single-cell analysis built on its Gemma family of open models

We're launching a new 27 billion parameter foundation model for single-cell analysis built on the Gemma family of open models.

The Keyword 2025-10-16

Context & Ripple Effects

Google has been extending Gemma from its initial open-model releases into task-specific variants, including CodeGemma and RecurrentGemma for coding and efficient inference. C2S-Scale applies that same family strategy to single-cell analysis at the 27B-parameter scale.

The later release of TranslateGemma for translation reinforces a portfolio pattern: Google is using Gemma as a base for purpose-built open models rather than treating it as a single general-purpose offering.

First-order effects

Single-cell researchers and developers gain a 27B-parameter foundation model explicitly positioned for their domain, built on the Gemma model family.
Google broadens Gemma’s role from a general open-model line into a domain-specialized model platform.

Second-order effects

Bioinformatics teams evaluating foundation models for single-cell work now have a Gemma-based option to compare with narrower, domain-native approaches, increasing pressure to demonstrate task-specific utility.
The release makes Gemma’s surrounding developer and research ecosystem more relevant to life-science workloads, not only language and code use cases.

Third-order effects

If Google continues to ship specialized models atop a shared open base, competition may shift toward the quality of domain adaptation, tooling and deployment ecosystems rather than the base model alone.
This points to a more modular open-model market, where shared families can be tuned into vertical products; whether that translates into adoption will depend on validation in scientific workflows.

The trend: Open model families are becoming platforms for specialized foundation models aimed at distinct technical and scientific workflows.

Discussion

@sundarpichai Sundar Pichai on x
An exciting milestone for AI in science: Our C2S-Scale 27B foundation model, built with @Yale and based on Gemma, generated a novel hypothesis about cancer cellular behavior, which scientists experimentally validated in living cells. With more preclinical and clinical tests,
@iterintellectus Vittorio on x
🚨MASSIVE WHITE PILL🚨 AI JUST GENERATED NEW SCIENTIFIC KNOWLEDGE Google and Yale used a 27B Gemma model and it discovered a new cancer mechanism. it predicted a drug (silmitasertib) would only make tumors visible to the immune system if low interferon was present and lab [image]
@david_van_dijk David van Dijk on x
Exciting to see our collaboration with @Google highlighted here — using AI to generate and test new biological hypotheses!
@google @google on x
C2S-Scale is a new 27 billion parameter foundation model built on the Gemma family of open models that generated a novel hypothesis about cancer cellular behavior that we've confirmed with experimental validation in living cells. This discovery reveals a promising new pathway for
@deredleritt3r Prinz on x
Just to recap: We found out today that an LLM that fits on a high-end consumer GPU, when trained on specific biological data, can discover a novel method to make cancer tumors more responsive to immunotherapy. Confirmed novel discovery (not present in existing literature).
@osanseviero Omar Sanseviero on x
Introducing... Cell2Sentence Scale 27B🤏 Based on Gemma, it's an open model that generated hypotheses about cancer cellular behavior. In collaboration with Yale, we confirmed the predictions with experimental validation in living cells Super excited about this one 🤯
@aiims1742 Anirban Maitra on x
Preprint from @GoogleDeepMind & @Yale Scaling Large Language Models for Next-Generation Single-Cell Analysis https://www.biorxiv.org/... Cell2Sentence-Scale (C2S-Scale) is a 27 billion parameter foundation model that takes scRNA analyses to the next level 🤯 https://huggingface.co…
@googleaidevs @googleaidevs on x
⚕️ Introducing C2S-Scale 27B, our new Gemma open model that can translate complex single-cell gene expression data into “cell sentences” that LLMs can understand. [image]
@david_van_dijk David van Dijk on x
C2S, powered by Gemma, is enabling us to generate and test new biological hypotheses — an amazing collaboration with @GoogleAI and @GoogleDeepMind!
@deryatr_ Derya Unutmaz on x
I would share this with anyone who still claims that AI (including LLMs) cannot make scientific discoveries. Soon, I will also reveal something really cool & important related to medicine.☺️ I repeat my advice: Don't say “AI can never do this or that,” and don't bet against AI!
@googleresearch @googleresearch on x
One of our new Gemma open models, Cell2Sentence-Scale, has identified a novel cancer therapy pathway that's been validated experimentally in living cells. Developed w/ @GoogleDeepMind & @Yale University, it looks deep into how to represent cells & biological information for AI ↓
@bryan_johnson Bryan Johnson on x
This is remarkable: AI generated a novel cancer fighting hypothesis and labs confirmed. The model demonstrated fluency in the language of human biology. Listening to what cells were saying, understanding their context, and talking back with a new idea that nature validated.
@kate_rouch Kate Rouch on x
Good day for AI in medicine. Hats off to Google for pushing the frontier here
@kimmonismus @kimmonismus on x
Let's freaking go! This is so freaking huge: Googles new 27B-model predicted a new potential cancer therapy for the first time: it discovered that the drug silmitasertib (CX-4945) only enhances antigen presentation under certain immune conditions, in other words, it can make [ima…
@bowang87 Bo Wang on x
Google just entered the virtual cell era. 🧬🤖🔥 Their C2S-Scale model shows LLMs can reason about cells — even uncover new cancer biology. This aligns with our recent BioReason work combining language LLMs with DNA foundation models. Together, we're pushing the frontier: cell
@sundarpichai Sundar Pichai on x
The model + resources are now on HuggingFace and GitHub so researchers can keep building and experimenting. More details here: https://blog.google/...
@azizishekoofeh Shek Azizi on x
This work is incredibly close to my heart. So grateful to our team @GoogleDeepMind @GoogleResearch & @Yale collaborators. It's been a hard road and a hard-won milestone, and this is just the beginning. The path from a finding like this to the clinic is very long, requiring
@dr_singularity Dr Singularity on x
This is pretty insane. Probably the biggest AI related news of the year so far Major breakthrough in AI powered biology! Google just announced Cell2Sentence-Scale 27B (C2S-Scale), a 27 billion parameter model built to understand the language of individual cells. Trained in [image…
@ymatias Yossi Matias on x
Today our teams are introducing Cell2Sentence-Scale 27B (C2S-Scale), a new 27 billion parameter foundation model designed to understand the language of individual cells, developed in collaboration with Yale University. C2S-Scale generated a novel scientific hypothesis to fight [i…
@clementdelangue Clem on x
Beautiful work from @sundarpichai @demishassabis and team with open weights on HF: https://huggingface.co/... I'm so excited about the application of AI for biology and chemistry, especially in the open like this for all to benefit!
@patloeber Patrick Loeber on x
This launch is particularly close to my heart as someone with a background in medical engineering: The new open Gemma model, Cell2Sentence, accelerates cancer therapy discovery! It found a novel way to make “cold” tumors “hot” and potentially more responsive to immunotherapy
@andrewmayne Andrew Mayne on x
This is exciting to see happen!
@parikpatelcfa @parikpatelcfa on x
Google Deepmind is using AI to actually cure cancer while OpenAI and xAI use it to make porn bots
@timkellogg.me Tim Kellogg on bluesky
Gemma 27B variant discovered a new cancer pathway treatment that has been validated — Scientists setup an environment and context, the model made a novel inference — blog.google/technology/a... [image]
@gusthema Gus on bluesky
The new Gemma model, Cell2Sentence, accelerates cancer therapy discovery! 🤯 — It found a novel way to make “cold” tumors “hot,” boosting immunotherapy effectiveness. Lab tests confirmed a 50% synergistic immune signal increase. — Amazing!!! — blog.google/technology/a...
r/LocalLLaMA r on reddit
Google C2S-Scale 27B (based on Gemma) built with Yale generated a novel hypothesis about cancer cellular behavior - Model + resources are now on Hugging Face and GitHub
r/programare r on reddit
Gică contra: AI-ul nu poate face descoperiri. AI-ul: nou tratament pentru cancer
r/ChatGPT r on reddit
This is AI generating novel science. The moment has finally arrived.
r/OpenAI r on reddit
This is AI generating novel science. The moment has finally arrived.
r/accelerate r on reddit
How a Gemma model helped discover a new potential cancer therapy pathway
r/singularity r on reddit
How a Gemma model helped discover a new potential cancer therapy pathway

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